This　paper　focuses　on　the　analysis　of　point　clouds　from　terrestrial　laser　scanning　to　interpret　possible　deformations　of　the　new　Badaling　Tunnel　that　was　built　for　the　Winter　Olympics　2022　in　the　nearby　of　Beijing,　China.　A　reference　framework　is　established　to　compare　data　corresponding　to　various　days　with　blocks　of　uniform　columns　and　rows　from　an　estimated　tunnel　axis.　Filling　holes　and　detecting　outliers　are　performed　for　quasi-planar　estimation,　and　refinement　transformation　is　used　to　adjust　the　data　errors　between　different　days.　Finally,　the　full-section　deformations　are　detected　in　the　form　of　distance　discrepancies　of　representative　points　and　are　verified　against　total　station　measurements.　©　2020　J.　Wang　et　al.